Overt foot movement detection in one single Laplacian EEG derivation
Overt foot movement detection in one single Laplacian EEG derivation
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DOI：
10.1016/j.jneumeth.2008.07.019
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发表时间：
2008-10-30
影响因子：
3
通讯作者：
Pfurtscheller, Gert
中科院分区：
文献类型：
--
作者：
Solis-Escalante, Teodoro;Mueller-Putz, Gernot;Pfurtscheller, Gert
在这项工作中，使用单个拉普拉斯推导和宽频带中频带功率值的完整描述来检测正在进行的脑电图中轻快的足部运动执行。两个支持向量机 (SVM) 经过训练，可以独立检测电机执行期间的事件相关去同步 (ERD) 以及随后的 beta 反弹（事件相关同步，ERS）。他们的表现是通过模拟异步大脑开关来测量的。电机执行后的 ERS（真阳性率 = 0.74 +/- 0.21）比 ERD（真阳性率 = 0.21 +/- 0.12）更稳定。引入了 ERD 和运动后 ERS 的新颖组合。 SVM 输出与乘积规则相结合，以合并 ERD 和 ERS 检测。对于这种新颖的方法，获得的平均信息传输率为 11.19 +/- 3.61 位/分钟。 (C) 2008 Elsevier B.V. 保留所有权利。
In this work one single Laplacian derivation and a full description of band power values in a broad frequency band are used to detect brisk foot movement execution in the ongoing EEG. Two support vector machines (SVM) are trained to detect the event-related desynchronization (ERD) during motor execution and the following beta rebound (event-related synchronization, ERS) independently. Their performance is measured through the simulation of an asynchronous brain switch. ERS (true positive rate = 0.74 +/- 0.21) after motor execution is shown to be more stable than ERD (true positive rate = 0.21 +/- 0.12). A novel combination of ERD and post-movement ERS is introduced. The SVM outputs are combined with a product rule to merge ERD and ERS detection. For this novel approach the average information transfer rate obtained was 11.19 +/- 3.61 bits/min. (C) 2008 Elsevier B.V. All rights reserved.